2017
DOI: 10.1016/j.atmosenv.2017.08.034
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The model SIRANE for atmospheric urban pollutant dispersion. PART III: Validation against NO2 yearly concentration measurements in a large urban agglomeration

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Cited by 44 publications
(42 citation statements)
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“…SIRANE is an urban dispersion model that integrates a specific module to simulate pollutant dispersion within a built environment, considering local meteorological conditions and geometry of the streets. The comparison of this dispersion model with measured designs of NO2, PM10, dioxin and cadmium in the Lyon metropolitan area, showed consistent results . Overall findings showed strong concordance between the GIS‐based metric and the dispersion models, with wκ ranging from 0.69 (0.64–0.73) to 0.86 (0.82–0.91) and R 2 from 0.65 to 0.86 .…”
Section: Methodssupporting
confidence: 59%
“…SIRANE is an urban dispersion model that integrates a specific module to simulate pollutant dispersion within a built environment, considering local meteorological conditions and geometry of the streets. The comparison of this dispersion model with measured designs of NO2, PM10, dioxin and cadmium in the Lyon metropolitan area, showed consistent results . Overall findings showed strong concordance between the GIS‐based metric and the dispersion models, with wκ ranging from 0.69 (0.64–0.73) to 0.86 (0.82–0.91) and R 2 from 0.65 to 0.86 .…”
Section: Methodssupporting
confidence: 59%
“…As already mentioned, Equation (2) represents an over-simplification of the chemical processes occurring in the urban atmosphere. Nevertheless, validation studies [70,72] show good agreement between SIRANE results, obtained adopting this simplified chemical scheme, and on-site measurements.…”
Section: Modelling Chemical Reactionsmentioning
confidence: 95%
“…The input data are the urban geometry, the meteorological data, the locations and the modulations of the emissions (represented as point, line, and surface sources) and the hourly evolution of the background concentration, i.e., the concentration due to sources placed outside the domain. More details on the SIRANE model can be found in Soulhac et al [69] and Soulhac et al [72].…”
Section: The Sirane Modelmentioning
confidence: 99%
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